12 Ai Architecture Jobs

As the Lead AI Strategist & Architect at DivyaSree's AI Division, you will drive early-stage AI vision and system design to establish a foundation for scalable AI adoption. The AI Division at DivyaSree is a dynamic startup within the organization, focused on reshaping real estate, education, and hospitality through AI innovation. You will play a pivotal role in defining the high-level AI roadmap, architecting secure and scalable AI systems, and leading the development of AI solutions for internal workflows and customer-facing tools. Your responsibilities will include setting up data pipelines, cloud infrastructure, and MLOps practices while also focusing on research, IP creation, team building, and ecosystem partnerships. To excel in this role, you should have at least 7 years of experience in developing and deploying AI/ML solutions in production environments. Proficiency in multiple AI domains such as NLP, computer vision, and generative AI is essential, along with a strong software engineering background and expertise in Python and relevant AI frameworks. Experience with cloud platforms and MLOps practices is also required. Preferred qualifications include an advanced degree in AI, Machine Learning, or a related field, hands-on experience with generative AI, LLMs, and agent-based systems, as well as contributions to open-source projects or research publications in AI-related fields. Knowledge of data privacy, security, and ethical considerations in AI implementation is also beneficial. In return, DivyaSree offers a unique opportunity to lead the AI vision from day zero, influence both business and tech decisions, work on cutting-edge projects, receive full support from leadership, and have the chance to make a significant impact on the AI ecosystem in India. Join us in building a bold future in AI innovation and be part of a team committed to creating lasting change through technology.,

As an experienced AI Architect, you will be responsible for leading the development of AI and Machine Learning infrastructure and specialized language models for HR applications. Your role will involve establishing and leading MLOps practices and driving the creation of scalable, production-ready AI/ML systems. You will collaborate with business teams to discuss the feasibility of AI/ML use cases and translate the vision of business leaders into realistic technical implementations. Your expertise will be crucial in defining the AI architecture, selecting appropriate technologies, designing and implementing robust ML infrastructure and deployment pipelines, and establishing comprehensive MLOps practices for model training, versioning, and deployment. In this role, you will lead the development of HR-specialized language models (SLMs), implement model monitoring, observability, and performance optimization frameworks, and develop fine-tuning strategies for large language models. You will create and maintain data quality assessment and validation processes, design model versioning systems and A/B testing frameworks, and define technical standards and best practices for AI development while optimizing infrastructure for cost, performance, and scalability. To be successful in this position, you should have 7+ years of experience in ML/AI engineering or related technical roles, with at least 3 years of hands-on experience in MLOps and production ML systems. Your expertise should include fine-tuning and adapting foundation models, knowledge of model serving infrastructure and orchestration, proficiency with MLOps tools such as MLflow, Kubeflow, Weights & Biases, and experience in implementing model versioning and A/B testing frameworks. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face, as well as experience with cloud-based ML platforms such as AWS, Azure, Google Cloud, are essential. A proven track record of deploying ML models at scale, developing AI applications for enterprise software domains, and knowledge of distributed training techniques and infrastructure will be beneficial. Familiarity with retrieval-augmented generation (RAG) systems, vector databases like Pinecone, Weaviate, Milvus, and understanding of responsible AI practices and bias mitigation are also desired. A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field is required for this position.,

As an AI Deployment Architect at Centific, you will play a crucial role in designing and implementing highly secure AI solutions deployment at an enterprise scale. Your responsibilities will include collaborating with stakeholders, staying updated with the latest AI trends, leading AI projects deployment, optimizing AI models for performance and scalability, and ensuring adherence to quality standards. Your key responsibilities will involve developing and implementing secure AI solutions deployment that align with business objectives, creating scalable architectures, integrating AI technologies into existing systems, and working closely with data scientists, engineers, and business leaders to translate requirements into AI solutions. You should possess 8+ years of experience in designing and deploying AI models at an enterprise scale in a highly secure environment. A strong background in Computer Science or other engineering disciplines from top-tier schools is required. Expertise in AI architecture and pipeline planning, software engineering, DevOps principles, data science, and advanced analytics tools is essential for this role. In addition, you should have technical proficiency in programming languages such as Python, R, and Java, along with analytical thinking skills to analyze large datasets and extract meaningful insights. Strong project management skills, excellent communication abilities to convey technical concepts to non-technical stakeholders, and adaptability to new challenges and technologies are also crucial for this position. Your expertise should encompass machine learning frameworks like TensorFlow, PyTorch, Keras, programming languages including Python, R, Java, C++, data management tools such as SQL and NoSQL databases, cloud platforms like AWS, Google Cloud, and Azure, and development tools like Jupyter Notebooks, Git, Docker, and Kubernetes. Join Centific and be part of the team that is transforming the world through safe and scalable AI, empowering businesses to unlock the full potential of their data.,

The Senior Technical Architect, Generative AI and Agent Factory, plays a key role in leading the architecture, design, and strategic enablement of PepsiCo's enterprise-grade GenAI platforms including PepGenX, Agent Factory, and PepVigil. You will define scalable, event-driven agent orchestration frameworks, modular agent templates, and integration patterns to enable intelligent, governed, and reusable agent ecosystems. This position is vital in accelerating the deployment of AI-driven solutions across commercial, reporting, and enterprise automation use cases. Your responsibilities will include architecting and governing the design of scalable, modular AI agent frameworks for enterprise-wide reuse. You will define event-driven orchestration and agentic execution patterns to enable intelligent, context-aware workflows. Additionally, you will drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure consistency in observability, security, and orchestration patterns. Developing reusable agent templates, blueprints, and context frameworks to accelerate use case onboarding across domains will also be a key aspect of your role. You will establish architecture standards to embed Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, as well as lead technical architecture planning across delivery sprints, vendor integration tracks, and GenAI product releases. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - 12+ years of experience in enterprise software or AI architecture roles, with a recent focus on LLMs, Generative AI, or intelligent agents - Proven experience in designing and implementing agent-based frameworks or AI orchestration platforms - Strong understanding of technologies such as LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management - Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks - Demonstrated ability to influence enterprise architecture and guide cross-functional engineering teams - Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.,

The Senior Technical Architect - Generative AI and Agent Factory is accountable for overseeing the overall architecture, design, and strategic advancement of PepsiCo's enterprise-level GenAI platforms, namely PepGenX, Agent Factory, and PepVigil. Your primary objective will be to establish scalable, event-driven agent orchestration frameworks, modular agent templates, and integration strategies that empower intelligent, governed, and reusable agent ecosystems, thus expediting the implementation of AI-driven solutions across various commercial, reporting, and enterprise automation scenarios. You will be responsible for architecting and managing the development of scalable, modular AI agent frameworks (such as Agent Mesh, Orchestrator, Memory, Canvas) for broad organizational utility. Your role will also involve defining event-driven orchestration and agentic execution patterns (e.g., Temporal, LangGraph, AST-RAG, reflection) to facilitate intelligent, context-aware workflows. Additionally, you will drive platform integration across PepGenX, Agent Factory, and PepVigil to ensure uniformity in observability, security, and orchestration approaches. Developing reusable agent templates, blueprints, and context frameworks (e.g., MCP, semantic caching) to expedite use case onboarding across various domains will also fall under your purview. Moreover, you will be instrumental in setting up architecture standards to incorporate Responsible AI (RAI), data privacy, and policy enforcement within GenAI agents, and lead technical architecture planning for delivery sprints, vendor integration tracks, and GenAI product releases. To be considered for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with a minimum of 12 years of experience in enterprise software or AI architecture roles, with recent specialization in LLMs, Generative AI, or intelligent agents. You must have a proven track record in designing and implementing agent-based frameworks or AI orchestration platforms, and a solid understanding of technologies like LangGraph, Temporal, vector databases, multimodal RAGs, event-driven systems, and memory management. Hands-on experience with Kubernetes, Azure AI/AKS, REST APIs, and observability stacks is essential, as is the ability to influence enterprise architecture and provide guidance to cross-functional engineering teams. Excellent communication skills are a must, allowing you to effectively convey intricate technical concepts to a diverse set of stakeholders.,

The role of an AI Deployment Architect at Centific involves designing and implementing highly secure AI solutions deployment at an enterprise scale. This includes developing architectures that align with business objectives, integrating AI technologies into existing systems, and ensuring high performance with quick turnaround for hundreds of concurrent users. The key responsibilities of this role include collaboration with stakeholders to understand requirements, staying updated with the latest AI trends for continuous innovation, leading AI projects deployment, and optimizing AI models for performance and scalability. To be successful in this role, candidates are required to have at least 8 years of experience in designing and deploying AI models in a highly secure environment supporting a large number of concurrent users. A strong graduate-level degree in Computer Science or other engineering discipline from a top-tier school is essential. Candidates should also possess expertise in AI architecture and pipeline planning, software engineering, DevOps principles, data science, advanced analytics, technical proficiency in programming languages such as Python, R, and Java, analytical thinking, project management skills, effective communication abilities, and adaptability to new challenges and technologies. Key skills required for this role include expertise in AI workflows and pipelines design, knowledge of software engineering principles and DevOps tools, proficiency in advanced analytics tools and machine learning frameworks, technical proficiency in programming languages, excellent problem-solving skills, proven experience in project management, strong communication abilities, and adaptability to fast-paced environments. Candidates should also be familiar with machine learning frameworks like TensorFlow, PyTorch, Keras, programming languages including Python, R, Java, C++, data management tools like SQL and NoSQL databases, cloud platforms such as AWS, Google Cloud, Azure, and development tools like Jupyter Notebooks, Git, Docker, and Kubernetes. In summary, the AI Deployment Architect role at Centific requires a combination of technical expertise, project management skills, effective communication abilities, and adaptability to drive the deployment of secure and scalable AI solutions in alignment with business objectives.,

3+ Years experience in Gen AI, AI Engineering, Solution Architecture Gen AI Specialist strong experience in LLM, AI engineering, AI project deployment & production, Gen AI innovation, Gen AI architecture, Gen AI based use case design, build, deploy & scale at clients. 2 years + Strong experience in AI, ML, Data Science. Solutioning, Architecture, Build, Deploy, ML Ops, Production, Managed Services Top Engineering Colleges Preferred Prefer is resource is from tech startup. Consulting and Tech Firms are also good. Cloud Firms too if we can afford Full Stack Tech Skills i.e. Front End, Middle End, Back End, Custom Apps, Automation will be a big bonus Experience in Solution Architecture for projects, AI Project Delivery hands on,

Solutions Architect : Pre-Sales (Application Modernization & Digital Platforms) Role Summary We are looking for a seasoned Solutions Architect to lead pre-sales solutioning and technical design for application modernization initiatives. This role focuses heavily on application architecture including legacy system transformation, re-platforming, and modular enterprise app design — with working knowledge of cloud-native tools and DevOps principles. The ideal candidate is proficient in Java, Python, Node.js, and .NET, and well-versed in enterprise architecture best practices and design patterns that scale across organizations. Key Responsibilities Architect application modernization solutions during pre-sales engagements, aligning with client business needs and IT strategy. Analyze legacy application portfolios and propose modernization strategies such as rehosting, refactoring, rearchitecting, or rebuilding. Design scalable, resilient, and maintainable solutions using modern architecture patterns (microservices, event-driven, layered architecture). Leverage enterprise design patterns such as: Strangler Fig (incremental modernization) Domain-Driven Design (DDD) CQRS and Event Sourcing API Gateway and BFF (Backend-for-Frontend) Repository, Unit of Work, and Adapter patterns Produce solution architecture documents, estimates, and presentation material for RFPs/RFIs, proposals, and customer pitches. Guide PoC implementations, demo environments, and value accelerators. Ensure solution designs incorporate non-functional requirements: scalability, security, observability, availability, and performance. Technology Stack Languages/Frameworks: Java (Spring Boot, Hibernate, JPA) Python (FastAPI, Django, Celery) Node.js (Express, NestJS) .NET Core (.NET 6/7, ASP.NET Web API) Databases: PostgreSQL, MS SQL, MongoDB, Redis Integration: REST, gRPC, Kafka, RabbitMQ Architecture: Microservices, SOA, Modular Monoliths, Reactive Systems Cloud & DevOps (Secondary Focus) Exposure to AWS, Azure, or GCP cloud services (compute, storage, messaging, API management). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Familiarity with Infrastructure as Code (Terraform, Helm) and observability tools (Prometheus, Grafana, ELK). Best Practices & Architecture Governance Apply industry best practices such as: Twelve-Factor App principles SOLID design principles Secure coding practices (OWASP Top 10) Design-for-failure and graceful degradation Champion documentation standards, reusable reference architectures, and lightweight architecture decision records (ADRs). Participate in architecture review boards and provide guidance to ensure consistency across engagements. Pre-Sales Experience Proven experience creating solution blueprints, technical writeups, and estimates as part of bid responses and proposals. Conduct client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–16 years of experience in software architecture, including recent hands-on involvement in solutioning. Bachelor’s or Master’s degree in Computer Science or Engineering. Certifications preferred: TOGAF, CITA. Exposure to verticals like BFSI, Healthcare, Manufacturing, or Telecom is a plus.

Job Description: Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML.

Seeking an experienced AI Architect to lead the development of our AI and Machine Learning infrastructure and specialized language models. This role will establish and lead our MLOps practices and drive the creation of scalable, production-ready AI/ML systems. Key Responsibilities Discuss the feasibility of AI/ML use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings Design and implement robust ML infrastructure and deployment pipelines Establish comprehensive MLOps practices for model training, versioning, and deployment Lead the development of HR-specialized language models (SLMs) Implement model monitoring, observability, and performance optimization frameworks Develop and execute fine-tuning strategies for large language models Create and maintain data quality assessment and validation processes Design model versioning systems and A/B testing frameworks Define technical standards and best practices for AI development Optimize infrastructure for cost, performance, and scalability Required Qualifications 7+ years of experience in ML/AI engineering or related technical roles 3+ years of hands-on experience with MLOps and production ML systems Demonstrated expertise in fine-tuning and adapting foundation models Strong knowledge of model serving infrastructure and orchestration Proficiency with MLOps tools (MLflow, Kubeflow, Weights & Biases, etc.) Experience implementing model versioning and A/B testing frameworks Strong background in data quality methodologies for ML training Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with cloud-based ML platforms (AWS, Azure, Google Cloud) Proven track record of deploying ML models at scale Preferred Qualifications Experience developing AI applications for enterprise software domains Knowledge of distributed training techniques and infrastructure Experience with retrieval-augmented generation (RAG) systems Familiarity with vector databases (Pinecone, Weaviate, Milvus) Understanding of responsible AI practices and bias mitigation Bachelor's or Master's degree in Computer Science, Machine Learning, or related field

As an Senior Solution Architect Gen AI, you will be a part of an Agile team to design and build healthcare applications and implement new features while adhering to the best coding development standards . you will be responsible for ensuring the quality, reliability and performance of our application. You will work closely with our development team to design, implement, and execute comprehensive test plan, including automation testing and API testing. Your expertise in both software quality assurance and ophthalmology will be critical in ensuring that our application meets the highest standards of accuracy. Responsibilities: - Articulating, acting as an advisor and leading the workshop with customers and proficient in emerging technical trends in AI & GenAI. collaborating with Sales and Engineering teams to develop POCs and propose solutions. Help in developing strong methodologies, processes, implementation, and rollout plans. Help with strategic consulting and building AI/ML-driven road maps for our customers. Work with offshore AI/ML/Data delivery and competency teams on a regular basis and communicate project requirements to these teams. Help customers perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Position Summary This is a highly visible role that requires a perfect combination of deep technical credibility, strategic acumen and demonstrable leadership competency. You will be the ultimate Trusted Advisor, capable of engaging business and technology leaders within the worlds largest enterprises, and guiding their strategic AI-enabled journey. The Country Leader, AI Architecture, is responsible for leading the Labs Architectural services within the region. You will need to provide hands-on technical leadership, whilst managing a small team of senior AI architects and consultants. Operating in a fast-moving, highly innovative environment, collaborating with senior Sales and Technical leaders. You will have business responsibility for the provision of innovation-led Labs services. focusing on the design and implementation of advanced AI solutions enabling genuine transformational outcomes. This hands-on leadership role demands deep understanding of AI and related technologies, running in Edge, onprem and Public Cloud environments. Acting at the forefront of our industry you will be fully conversant with Generative AI, and its impact at both the individual employee and strategic organisational level. The ideal candidate will be an established thought-leader in the AI domain, with solid architectural and engineering credentials that you maintain at the highest level. Working ahead of industry trends, deeply passionate about AI-enabled business transformation and demonstrating a strong innovation-led posture. As a thought leader, you will interact frequently with CxO level clients, industry leaders, provide expert opinions, and contribute to HCLs strategic vision. Key Responsibilities Technical & Engineering Leadership Act as ultimate Design Authority for sophisticated AI solutions and related technology architecture. Lead high-level architectural discussions with clients, providing expert guidance on best practices for AI implementations across AI PC, Edge, Data Centre and Public Cloud environments. Ensure solutions align with modern best practices across the full spectrum of platforms and environments. Deep understanding across GPU/NPU, Cognitive Infrastructure, Application and Copilot/agent domains. Contribute to HCLTech thought leadership in the AI & Cloud domains with a deep understanding of open-source (e.g., Kubernetes, OPEA) and partner technologies. Collaborate on joint technical projects with global partners, including Google, Microsoft, AWS, NVIDIA, IBM, Red Hat, Intel, and Dell. Service Delivery & Innovation Design innovative AI solutions from ideation to MVP, rapidly enabling genuine business value. Optimize AI and cloud architectures to meet client requirements, balancing efficiency, accuracy and effectiveness. Assess and review existing complex solutions and recommend architectural improvements to transform applications with latest AI technologies. Drive the adoption of cutting-edge GenAI technologies spearheading initiatives that push the boundaries of AI capability across the full spectrum of environments. Thought Leadership and Client Engagement Provide expert architectural and strategy guidance to clients on incorporating Generative AI into their business and technology landscape. Conduct workshops, briefings, and strategic dialogues to educate clients on AI benefits and applications, establishing strong, trust-based relationships. Act as a trusted advisor, contributing to technical projects with a strong focus on technical excellence and on-time delivery. Author whitepapers, blogs, and speak at industry events, maintaining a visible presence as a thought leader in AI and associated technologies. Collaboration and Customer Engagement Engage with multiple customers simultaneously, building high-impact consultative relationships. Work closely with internal teams and global partners to ensure seamless collaboration and knowledge sharing across projects. Maintain hands-on technical credibility, staying ahead of industry trends and mentoring others in the organization. Management and Leadership Demonstrable track record building and managing small Architectural or Engineering teams. Support career growth and professional development of the team. Enrich and enable world-class technical excellence across the team; supported by a culture of collaboration, respect, diversity, inclusion and deep trustful relationships. Mandatory Skills & Experience Management & leadership : Demonstrable track record building and leading Architectural or Engineering teams. Proven ability to combine strategic business and commercial skills, performing at the highest-level in senior client relationships. Experience: 10+ years architecture design 10+ years software engineering. 5+ years in a senior Team Leader or similar management position. Significant client-facing engagement within a GSI, system integrator, professional services or technology organization. Technologies: Professional-level expertise in Public Cloud environments (AWS, Azure, Google Cloud). Demonstrable coding proficiency with Python, Java or Go languages. AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. Working familiarity with Copilot solutions, in both software engineering and office productivity domains. Business Expertise: Extensive track record performing a lead technical role in a sales, business-development or other commercial environment. Negotiating and consultative skills; experience leading the complete engagement lifecycle. Communication: Experienced public speaker, with an ability to connect with senior business leaders. Project Methodologies: Agile and Scrum project management. Desired Skills & Experience Knowledge of GenAI operations (LLMOps), experience Governing AI models in production environments. Proficiency in data engineering for AI, including data preprocessing, feature engineering, and pipeline creation. Expertise in AI model fine-tuning and evaluation, with a focus on improving performance for specialized tasks. Copilot design, engineering and extensions. Knowledgeable about Responsible AI, including governance and ethics. Bias mitigation, with experience in implementing strategies to ensure fair and unbiased AI solutions. Deep Learning Frameworks (TensorFlow, PyTorch) Innovation and Emerging Technology Trends Strategic AI Vision and Road mapping Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about HCLs dynamic and high-energy Lab culture. Verifiable Certification Recognized Professional certification from Google, Microsoft or AWS in an AI and/or Cloudrelated domain. Soft Skills and Behavioural Competencies Exemplary communication and leadership skills, capable of inspiring teams and making strategic decisions that align with business goals. Demonstrates a strong customer orientation, innovative problem-solving abilities, and effective cross-cultural collaboration. Expert at driving organizational change and fostering a culture of innovation.